Forestry crops assessment by using unmanned aerial vehicle

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Abstract

Data on the growth and development of 23-year-old forest crops created by sowing and planting seedlings with a root-balled tree system on the territory of the Karelia Republic are presented. Using photogrammetric processing of data from an unmanned aerial vehicle (DJI Mavic Mini 2), an image plan of forestry crops was constructed and the quantitative distribution of tree species was determined. It was established that in all experimental areas, young stands with a predominance of Scots pine had been formed. It is shown that the use of algorithms for automated search for trees in dense point clouds makes it possible to detect 91 % of trees from the total mass of the point cloud and determine their height. The main identified characteristics of forest stands, determined using UAVs and the ground technique, differed within the limits of measurement accuracy.

About the authors

Aleksey V. Kabonen

Petrozavodsk State University

Author for correspondence.
Email: alexkabonen@mail.ru

Director of the Center for Digital Monitoring of Northern and Arctic Ecosystems

Russian Federation, 33, Lenin av., 185640, Petrozavodsk, Karelia

Anatoliy V. Gryaz’kin

St. Petersburg State Forest Engineering University

Email: alexkabonen@mail.ru

Dr. Sci. (Biology), Professor of the Department of Forestry

Russian Federation, 1194018, St. Petersburg

Ol’ga I. Gavrilova

Petrozavodsk State University

Email: alexkabonen@mail.ru

Dr. Sci. (Agriculture), Professor of the Department of Technology and Organization of the Forestry Complex

Russian Federation, 33, Lenin av., 185640, Petrozavodsk, Karelia

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